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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify
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Advisor: Baiqiao Chen (ist33735) Co-advisor(s): Baiqiao Chen (ist33735), Instituto Superior Técnico. Organic Unit: Scientific Area of Naval Architecture and Marine Engineering Scholarship Theme: Structural
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composite membranes with recourse to parameters pertaining to membrane casting solutions composition, MOF structures, coating techniques and membrane casting procedure. - Modeling and optimization
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fair access to opportunities (employment, healthcare services, education) and mitigating spatial inequalities; - develop (deep) learning models for spatial structures and dynamic graphs to support the
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different percentages of biocement. Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu
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-validated, enabling the conceptual extension of the model toward bilateral CI hearing. Work Plan During the first six months, the work will be structured around four main axes. (1) Computational modelling
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Advisor: Ana Paula Martins Falcão Flor (ist13814) Co-advisor(s): Jónatas Valença (ist417176), LNEC. Organic Unit: Scientific Area of Construction Scholarship Theme: The work aims the development
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viability of the RNL infrastructure. This maintenance is a structured process designed to preserve and enhance technological assets, extending far beyond simple reactive repairs. It includes preventive
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viability of the RNL infrastructure. This maintenance is a structured process designed to preserve and enhance technological assets, extending far beyond simple reactive repairs. It includes preventive
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life cycle assessment based on BIM models. • Development and structuring of a database to support dynamic life cycle assessment. • Implementation of blockchain solutions for circular products, integrated